Bedrock (Page 2)

AI agents are evolving beyond basic single-task helpers into more powerful systems that can plan, critique, and collaborate with other agents to solve complex problems. Deep Agents—a recently introduced framework built on LangGraph—bring these capabilities to life, enabling multi-agent workflows that mirror real-world team dynamics. The challenge, however, is notContinue Reading

This post is co-written by Mark Warner, Principal Solutions Architect for Thales, Cyber Security Products. As generative AI applications make their way into production environments, they integrate with a wider range of business systems that process sensitive customer data. This integration introduces new challenges around protecting personally identifiable information (PII)Continue Reading

Building an AI agent that can handle a real-life use case in production is a complex undertaking. Although creating a proof of concept demonstrates the potential, moving to production requires addressing scalability, security, observability, and operational concerns that don’t surface in development environments. This post explores how Amazon Bedrock AgentCore helpsContinue Reading

OpenAI has released two open-weight models, gpt-oss-120b (117 billion parameters) and gpt-oss-20b (21 billion parameters), both built with a Mixture of Experts (MoE) design and a 128K context window. These models are the leading open source models, according to Artificial Analysis benchmarks, and excel at reasoning and agentic workflows. WithContinue Reading

This post is co-written with Samit Verma, Eusha Rizvi, Manmeet Singh, Troy Smith, and Corey Finley from Verisk. Verisk Rating Insights as a feature of ISO Electronic Rating Content (ERC) is a powerful tool designed to provide summaries of ISO Rating changes between two releases. Traditionally, extracting specific filing informationContinue Reading

Organizations gain competitive advantage by deploying and integrating new generative AI models quickly through Generative AI Gateway architectures. This unified interface approach simplifies access to multiple foundation models (FMs), addressing a critical challenge: the proliferation of specialized AI models, each with unique capabilities, API specifications, and operational requirements. Rather thanContinue Reading